SkimAI is an AI assistant that transforms emails into actionable insights. It integrates seamlessly with Gmail and highlights unread emails, generates concise summaries of incoming messages, and drafts replies for your quick review and dispatch.
Transform your inbox into a hub of efficiency
SkimAI is an AI assistant that transforms emails into actionable insights. It integrates seamlessly with Gmail and highlights unread emails, generates concise summaries of incoming messages, and drafts replies for your quick review and dispatch.
Hey Product Hunters! 🚀 I'm Matthieu, co-founder of SkimAI. We are thrilled to launch our private beta on PH today! The Problem We're Solving 💡 Professionals involved in day-to-day operations find themselves dedicating up to 40% of their time to administrative tasks that offer little added value. This significant time investment in repetitive tasks like email management, data entry, and scheduling meetings, takes away from focusing on value-adding work that truly drives progress. Our Vision at Sk
This is truly great! As a grad student my email gets filled fast and its a daily process to go through it. This really has made it so much easier and I so appreciate this. Awesome job!
Hi, looks great! Are there any plans to integrate it with inboxes other than Gmail? Such as Outlook, ProtonMail, etc? Thanks in advance and good luck!
This is often genuinely incredible! As a grad understudy my mail gets filled quick and its a every day handle to go through it. This truly has made it so much less demanding and I so appreciate this. Great work!
@originalmatth Congrats on the launch man! From the looks of it, the product is very interesting and I just signed up, connected my gmail with it. But it is still in loading, I actually have thousands of email in my inbox. I hope it does not break your system. I'm waiting for it to finish syncing everything and then I'll share my complete feedback with you. ;)
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.